Weak AI visibility with 31 of 48 criteria passing. Biggest gap: speakable schema.
Healthcare & Patient AdvocacyHealthcare TechnologyVerdict
Below-average AEO readiness at 49/100 - multiple areas need attention. Key strengths include llms.txt File, RSS/Atom Feed, and Canonical URL Strategy. Priority gaps: Speakable Schema, Query-Answer Alignment, and Image Context for AI. Topic coherence is moderate at 5/10, capping the score at 60. Tighter topical focus would lift this ceiling.
How to Improve
Top Opportunities10
Fix It With AI43
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Guides for the criteria with the most room for improvement
Voice assistants need to pick which paragraph to read aloud from your page. Without Speakable markup, they guess -and they frequently guess wrong, reading your cookie notice.
You wrote a 3,000-word guide on "customer support automation." But people ask AI "how do I reduce support ticket volume?" If your content doesn't match the actual queries, AI can't connect the dots.
AI can't see your images. It reads the markup around them. A product photo with alt="image1.jpg" tells AI nothing. A figure with a descriptive figcaption and 8-word alt text tells AI exactly what it's looking at - and that context feeds directly into citation decisions.
AI assistants are question-answering machines. When your content is already shaped as questions and answers, you're handing AI a pre-formatted citation. Sites that do this right get extracted -sites that don't get skipped.
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